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Stratification by stepwise regression, correspondence analysis and recursive partition: a comparison of three methods of analysis for survival data with covariates

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  • Ciampi, Antonio
  • Thiffault, Johanne
  • Nakache, Jean-Pierre
  • Asselain, Bernard

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  • Ciampi, Antonio & Thiffault, Johanne & Nakache, Jean-Pierre & Asselain, Bernard, 1986. "Stratification by stepwise regression, correspondence analysis and recursive partition: a comparison of three methods of analysis for survival data with covariates," Computational Statistics & Data Analysis, Elsevier, vol. 4(3), pages 185-204, October.
    • Handle: RePEc:eee:csdana:v:4:y:1986:i:3:p:185-204
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    Cited by:

    1. Hua Jin & Ying Lu & Kaite Stone & Dennis M. Black, 2004. "Alternative Tree-Structured Survival Analysis Based on Variance of Survival Time," Medical Decision Making, , vol. 24(6), pages 670-680, November.
    2. Zhang, Heping, 2004. "Recursive Partitioning and Tree-based Methods," Papers 2004,30, Humboldt University of Berlin, Center for Applied Statistics and Economics (CASE).
    3. Hoora Moradian & Denis Larocque & François Bellavance, 2017. "$$L_1$$ L 1 splitting rules in survival forests," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 23(4), pages 671-691, October.
    4. Yan Zhou & John McArdle, 2015. "Rationale and Applications of Survival Tree and Survival Ensemble Methods," Psychometrika, Springer;The Psychometric Society, vol. 80(3), pages 811-833, September.
    5. Susan Athey & Julie Tibshirani & Stefan Wager, 2016. "Generalized Random Forests," Papers 1610.01271, arXiv.org, revised Apr 2018.
    6. Yifei Sun & Sy Han Chiou & Mei‐Cheng Wang, 2020. "ROC‐guided survival trees and ensembles," Biometrics, The International Biometric Society, vol. 76(4), pages 1177-1189, December.
    7. Fan, Juanjuan & Nunn, Martha E. & Su, Xiaogang, 2009. "Multivariate exponential survival trees and their application to tooth prognosis," Computational Statistics & Data Analysis, Elsevier, vol. 53(4), pages 1110-1121, February.
    8. Besse, Philippe & Leconte, Eve & Walschaerts, Marie, 2012. "Stable variable selection for right censored data: comparison of methods," TSE Working Papers 12-486, Toulouse School of Economics (TSE).
    9. Xiaogang Su & Juanjuan Fan, 2004. "Multivariate Survival Trees: A Maximum Likelihood Approach Based on Frailty Models," Biometrics, The International Biometric Society, vol. 60(1), pages 93-99, March.
    10. Karen Lostritto & Robert L. Strawderman & Annette M. Molinaro, 2012. "A Partitioning Deletion/Substitution/Addition Algorithm for Creating Survival Risk Groups," Biometrics, The International Biometric Society, vol. 68(4), pages 1146-1156, December.
    11. A. S. Foulkes & V. De Gruttola, 2002. "Characterizing the Relationship Between HIV-1 Genotype and Phenotype: Prediction-Based Classification," Biometrics, The International Biometric Society, vol. 58(1), pages 145-156, March.
    12. Hua Jin & Ying Lu, 2011. "Cost-Saving Tree-Structured Survival Analysis for Hip Fracture of Study of Osteoporotic Fractures Data," Medical Decision Making, , vol. 31(2), pages 299-307, March.
    13. Wei-Yin Loh, 2014. "Fifty Years of Classification and Regression Trees," International Statistical Review, International Statistical Institute, vol. 82(3), pages 329-348, December.
    14. Un Jung Lee & ShengLi Tzeng & Yu-Chuan Chen & James J Chen, 2017. "Development of Predictive Signatures for Treatment Selection in Precision Medicine," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 2(4), pages 83-88, August.
    15. Rancoita, Paola M.V. & Zaffalon, Marco & Zucca, Emanuele & Bertoni, Francesco & de Campos, Cassio P., 2016. "Bayesian network data imputation with application to survival tree analysis," Computational Statistics & Data Analysis, Elsevier, vol. 93(C), pages 373-387.
    16. Ana Ezquerro & Brais Cancela & Ana López-Cheda, 2023. "On the Reliability of Machine Learning Models for Survival Analysis When Cure Is a Possibility," Mathematics, MDPI, vol. 11(19), pages 1-21, October.

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